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Patent Filings

ol_patents
Read-only

Recent USPTO patent filings for a ticker (innovation-intensity diligence). Returns {summary, ticker, count, filings}, NEWEST FIRST; limit default 50, hard cap 200, so this is a recent slice, never a full portfolio, and count is the number RETURNED. TRAP: a non-empty patent_number marks a continuation of an already-granted PARENT, NOT a grant of this application -- read the status field. Filings reflect Oxford Ledge's last on-demand USPTO ingest for the ticker, not a schedule; an unreachable store is REFUSED (DATA_UNAVAILABLE), never served as count 0. Source: USPTO (public domain); FREE. ATTRIBUTION: every filing field is USPTO ODP verbatim EXCEPT ticker, which is an Oxford Ledge applicant-name resolution, not a USPTO field.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax filings (default 50, hard cap 200).
tickerYesStock ticker (e.g. GOOGL).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With only readOnlyHint available, the description carries the burden well: it discloses the limit default/hard cap effect, that `count` is returned-not-total, the continuation-vs-grant trap, ingest freshness, and that an unreachable store yields DATA_UNAVAILABLE rather than a misleading zero. It also documents source and attribution scope.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loads what is returned before the trap, freshness, and attribution notes; every sentence adds distinct operational value with no filler or repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists, so the description has to describe the return shape — and it does ({summary, ticker, count, filings}, newest first). Combined with the trap, freshness, and refusal semantics, an agent has everything needed to call and interpret it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and the schema already documents both parameters including the default 50 / cap 200, which the description largely restates. The added meaning ('count is the number RETURNED') is marginal, so baseline 3 is correct.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Recent USPTO patent filings for a ticker') plus the analyst use case ('innovation-intensity diligence'). No sibling in the list covers patent filings, so the resource alone differentiates it clearly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives clear usage context ('recent slice, never a full portfolio') which implicitly tells the agent when-not to rely on it, and labels the diligence scenario it serves. It does not name an alternative tool for full-history patent research, so it stops short of explicit routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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